Estimation of Stature from Finger Length Based on the Correlation

2020 ◽  
Vol 2 (2) ◽  
pp. 48-54
Author(s):  
Shekhar Kumar Yadav ◽  
Shuvechha Shakya
Keyword(s):  
Linear Regression ◽  
Regression Equation ◽  
Mass Disaster ◽  
Age Group ◽  
Linear Regression Equation ◽  
Statistical Software ◽  
Stature Estimation ◽  
Finger Length ◽  
Significant Difference ◽  
Digital Caliper

Introduction: Estimation of stature is of paramount importance in verifying the identity of an individual from the bodily remains, often after any kind of mass disaster, explosion or intentional cuts and dismantling we encounter very few bodily parts. The objective of the present study was to estimate stature from the measurement of finger length based on the principle of correlation. Methods: The present study consisted of 300 individuals (150 male and 150 female) of age group 18 to 26 years during the period of August 2017 to August 2018. Stature and finger length of individuals were measured by using stadiometer and digital caliper respectively. Data were analyzed by using statistical software SPSS-22. Results: A positive and highly significant (p<0.01) correlation was observed in both genders. Linear regression equation for stature estimation was derived using finger length and checked for their accuracy by comparing the estimated stature to measured stature. The result shows no significant difference between estimated and measured stature. Conclusions: The results indicate that the finger length provides reliable means of estimating the stature of an unknown individual based on the principle of correlation. Hence it can be of significant help in establishing the identity of an individual.

scholarly journals Ethnomathematics: Predicting the Average Height of the Bali Mula Ancestors using Linear Regression

2019 ◽  
Vol 8 (1) ◽  
pp. 1
Author(s):  
Jero Budi Darmayasa ◽  
Wahyudin W ◽  
Tatang Mulyana
Keyword(s):  
Linear Regression ◽  
Index Finger ◽  
Cultural Anthropology ◽  
Predictor Variable ◽  
Regression Equation ◽  
Average Height ◽  
Linear Regression Equation ◽  
Finger Length ◽  
Initial Stage ◽  
The Relationship

This research is a study of Ethnomathematics. In this case, we view Ethnomathematics as an intersection between mathematics, mathematical modelling, and cultural anthropology. The purpose of this study is to determine the average height of <em>Bali Mula</em> ancestors communities in the area of Ancient Caldera Batur. We use exploration, observation, experimentation, documentation, and interviews method. In the initial stage of the study, we determine the relationship between the finger length index and the height body of <em>Bali Mula</em> male. The linear regression equation expresses the relationship, which is a length of the index finger as a predictor variable. Moreover, measure the pillars width of some houses <em>Saka Roras</em> and substituting it, we have the regression equation. Consequently, we estimate the average height of the <em>Bali Mula </em>ancestors in Kintamani area are 165 cm. Since it contains linier regression concepts, prediction the average height of <em>Bali Mula</em> ancestors from their traditional homes may be used as the context in mathematical (statistical) learning at school or university.

scholarly journals Measurement of Open Apices in Teeth for Estimation of Age In Children

2015 ◽  
Vol 12 (1) ◽  
pp. 33-37 ◽  
Author(s):  
Ashish Shrestha ◽  
R P Yadav ◽  
S Shrtestha ◽  
I K Majarjan ◽  
S Camelio
Keyword(s):  
Linear Regression ◽  
Panoramic Radiograph ◽  
Cross Sectional Study ◽  
Regression Equation ◽  
Chronological Age ◽  
Dental Age ◽  
Linear Regression Equation ◽  
Cross Sectional ◽  
Significant Difference ◽  
Open Apices

Background: Estimation of age has been a major factor in identification of an individual, either living or after death. Objective: To estimate and assess the dental age of children by measuring the open apices of the teeth using panoramic radiograph applying linear regression equation.  Methods: This was a retrospective cross-sectional study conducted on 50 children (25 boys and 25 girls) aged between 5-15 years. The seven left permanent mandibular teeth were assessed using panoramic radiographs which were collected from Medical Record Department, Manipal University, taken during the course of diagnosis and treatment. The number of teeth with closed apical and with open apical end of roots were examined and measured. The values were tabulated and placed on the linear regression equation proposed by Cameriere et al for the estimation of dental age. Result: The result showed no significant difference between the dental age (10.13±1.69 years) and the chronological age (10.31±1.75 years) (p=0.26). The method underestimated the mean age by 0.11 years and 0.23 years for the boys and girls, respectively. The paired sample t- test showed no significant difference between dental age and chronological age for boys (p=0.546) as well as for girls (p=0.351) Conclusion: The estimated age of children by measuring the open apices of the teeth using panoramic radiograph linear regression equation used in the European subjects closely matches with the chronological age in Asian subjects also. Keeping in context to validate more accurately the significance of linear regression equation, there is a need of larger sample size belonging to variety of ethnic and socioeconomic background.DOI: http://dx.doi.org/10.3126/hren.v12i1.11983Health Renaissance 2014;12(1):33-37

scholarly journals Height Estimation Based on Foot Length and Breadth in Children, Teenager, and Adult in Bandung City, Indonesia

2016 ◽  
Vol 1 (4) ◽  
Author(s):  
Sani Tanzilah ◽  
Noorman Herryadi ◽  
Andri A. Rusman
Keyword(s):  
Linear Regression ◽  
Age Groups ◽  
Regression Equation ◽  
Forensic Identification ◽  
Linear Regression Equation ◽  
Cross Sectional ◽  
Height Estimation ◽  
Stature Estimation ◽  
Foot Length ◽  
The City

Stature estimation is important for forensic identification, particularly in dismembered body. The equation used to estimate the height of a population is not necessarily applicable to other populations (population spesific). This study was conducted to generate the linear regression equation for stature estimation based on foot length and foot breadth on the population in the city of Bandung.  This cross-sectional study is conducted to 908 people, consisting of three age groups (children, adolescents, adults), in the city of Bandung. Sampling was done by multistage sampling. The stature was measured using a stadiometer SECA 213, right foot length (RFL), right foot breadth ( RFB), left foot length (LFL), and left foot breadth (LFB) were measured using sliding calipers. Data were analyzed with SPSS version 21.0 for Windows. There is correlation between height with the RFL, RFB, LFL, and LFB. In contrast to the group of teenagers and adults, there is no boys-girls difference between height, RFL, RFB, LFL, and LFB. 21 regression equation for stature estimation based on the foot size. Stature estimation can be done using the linear regression equation based on the foot length and foot breadth, according to population, gender, and age of the subject being examined. Key words: height estimation, foot length, foot breadth

scholarly journals Relationship between Cognitive Style and Habits of Mind

2019 ◽  
Vol 2 (1) ◽  
pp. 23
Author(s):  
Hayatun Nufus ◽  
Rezi Ariawan
Keyword(s):  
Linear Regression ◽  
Cognitive Style ◽  
Significance Test ◽  
Regression Equation ◽  
Coefficient Of Determination ◽  
Habits Of Mind ◽  
Linear Regression Equation ◽  
Research Subjects ◽  
Analysis Technique ◽  
The Relationship

This research is a correlational study that examines the relationship between cognitive style and habits of mind. The research subjects involved 4th semester students in the Department of Mathematics Education at the Faculty of Tarbiyah and Teacher Training of UIN Suska Riau which consisted of students with heterogeneous academic abilities. Cognitive style data was collected using the GEFT question instrument with test techniques. Habits of mind data were collected using a questionnaire instrument with a questionnaire distribution technique. The data analysis technique begins with the Pearson Product Moment correlation test which is continued with the significance test and the calculation of the magnitude of the relationship that occurs using the coefficient of determination. Because the data is positively correlated, it continues with determining the linear regression equation. The results showed that there was a significant weak correlation between cognitive style and habits of mind with a relationship score of 6% and a linear regression equation y '= 36.35 + 0.31 x.

Coronal Suture Pathology and Synostotic Progression in Rabbits with Congenital Craniosynostosis

1996 ◽  
Vol 33 (5) ◽  
pp. 369-378 ◽  
Author(s):  
Mark P. Mooney ◽  
Timothy D. Smith ◽  
Annie M. Burrows ◽  
Herbert L. Langdon ◽  
Cynthia E. Stone ◽  
...  
Keyword(s):  
Linear Regression ◽  
Inbred Strain ◽  
Rabbit Model ◽  
Regression Equation ◽  
Histologic Examination ◽  
Coronal Suture ◽  
Linear Regression Equation ◽  
Cross Sectional ◽  
High Tension ◽  
Single Focus

The purpose of the present study was to describe coronal suture pathology and cross sectional synostotic progression in an inbred strain of rabbits with congenital craniosynostosis. Calvaria from 102 perinatal rabbits (39 unaffected; 63 bilateral or unilateral synostosis) were collected at fetal days 21 (n = 12), 25 (n = 20), 27 (n = 22), 30 (term) (n = 32), and 3 days post-term (n = 16) for gross morphologic and histologic examination. Synostotic foci, the extent of relative bony bridging, and suture morphology were evaluated qualitatively and quantitatively. Of the 204 coronal sutures examined, 91 sutures were synostosed, and 113 were patent. All synostosed sutures showed similar foci by day 25, which originated as bony bridges in the middle of each suture on the ectocortic surface. Bony bridging width increased significantly (p < .001) from day 25 through 3 days post-term, and was best described by a linear regression equation. Osteogenic front areas of synostosed sutures were up to 2.5 times greater than patent sutures in term fetuses. Findings demonstrate that coronal suture synostosis in the congenital rabbit model (1) begins early during suture morphogenesis (before 25 days of gestation); (2) consistently radiates from a single focus corresponding to a normal interdigitating region (i.e., a high-tension environment); (3) varies in onset and rate as evidenced by low R2 value between age and extent of bony bridging; and (4) is the result of early hyperostosis of the osteogenic fronts and sutural agenesis. A number of possible pathogenetic mechanisms are discussed.

Preliminary Study on Prediction Model of Forming Tubular Bulge Height for a Thick-Plate

2011 ◽  
Vol 314-316 ◽  
pp. 763-766
Author(s):  
Dan Liu ◽  
Xiao Ting Xiao ◽  
Yi Juan Liao ◽  
Zheng Rong Zhang
Keyword(s):  
Linear Regression ◽  
Prediction Model ◽  
Sheet Metal ◽  
Process Parameters ◽  
Thick Plate ◽  
Regression Equation ◽  
Linear Regression Equation ◽  
Forward Extrusion ◽  
Inner Diameter ◽  
Bulge Height

To form the thick-plate with the tubular bulge, the backward and forward extrusion and punch process is proposed. The thickness of sheet metal, the inner diameter of tubular bulge, the diameter of punch-die, the forward extrusion depth and other process parameters are set by orthogonal regression design method and these groups of values are used respectively to simulate the combined extruding and punching process by the plastic analysis software DEFORM3D. And then, the linear regression equation is obtained between the bulge height and process parameters. The results indicate that the main factors affecting the bulge height are the thickness of sheet metal and diameter of punch-die within a certain range. However, the inner diameter of tubular bulge and the forward extrusion depth have a little contribute to bulge height. Also, the reliability of linear regression equation is not fine and the prediction model of tubular bulge needs to a more in-depth study.

Incisor growth in twins during the seventh and eighth months of foetal life

1963 ◽  
Vol 12 (3) ◽  
pp. 238-246 ◽  
Author(s):  
Maurice V. Stack
Keyword(s):  
Linear Regression ◽  
Regression Equation ◽  
Linear Regression Equation ◽  
Central Incisor ◽  
Dental Tissue ◽  
Lower Upper ◽  
Incisor Growth ◽  
Foetal Life ◽  
Similar Development

SUMMARYWeights of mineralized dental tissue have been determined in incisors dissected from ten pairs of twins failing to survive beyond 7-8 months' gestation. Logarithms of weights were compared as ratios (lower/upper) with data from foetuses of similar development. Intra-twin differences were thus shown to be significantly less than inter-twin differences when comparing central incisors. Lateral incisors were too variable to allow this demonstration. The linear regression equation combining logarithms of lower and upper central incisor weights was suitable for estimating foetal age to within one week of the recorded age.

Experiment of Artificial Floating Island Displacement Pile Fixation

2012 ◽  
Vol 220-223 ◽  
pp. 1670-1674
Author(s):  
Fang Li Su ◽  
Sheng Yu Shi ◽  
Hai Fu Li ◽  
Tie Liang Wang
Keyword(s):  
Experimental Data ◽  
Linear Regression ◽  
Flow Rate ◽  
Vertical Direction ◽  
Regression Equation ◽  
Maximum Force ◽  
Linear Regression Equation ◽  
Floating Island ◽  
The Impact

For providing refer to the experimental data of artificial floating island in river north, this study will get stability characteristics of artificial floating islands displacement pile fixation on simulating the impact of different flow rate of water. Analysising physical stress of artificial floating island displacement pile fixation and simulation, result shows that the sum of floating island of buoyancy and the maximum force of two fiber rope in the vertical direction should be greater than the maximum gravity of the floating island plants and ensure the maximum force of the two fiber rope in the horizontal direction must be greater than the flow momentum, the quality of floating island can be increased for improving stability. Depend on the different flow of water and linear regression equation, the distance between the floating island should be arranged reasonably.

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